Saukh, Olga

10 publications

ICLR 2025 Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang, Haris Šikić, Lothar Thiele, Olga Saukh

ICLRW 2024 HADS: Hardware-Aware Deep Subnetworks Francesco Corti, Balz Maag, Joachim Schauer, Ulrich Pferschy, Olga Saukh

CoLLAs 2024 Subspace-Configurable Networks Dong Wang, Olga Saukh, Xiaoxi He, Lothar Thiele

ICLRW 2024 Subspace-Configurable Networks Dong Wang, Olga Saukh, Xiaoxi He, Lothar Thiele

NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

ICLR 2023 REPAIR: REnormalizing Permuted Activations for Interpolation Repair Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur

ICLRW 2023 The Role of Pre-Training Data in Transfer Learning Rahim Entezari, Mitchell Wortsman, Olga Saukh, M. Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt

ICMLW 2022 How Well Do Contrastively Trained Models Transfer? M. Moein Shariatnia, Rahim Entezari, Mitchell Wortsman, Olga Saukh, Ludwig Schmidt

ICLR 2022 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur

AAAI 2012 Sensing the Air We Breathe - The OpenSense Zurich Dataset Jason Jingshi Li, Boi Faltings, Olga Saukh, David Hasenfratz, Jan Beutel